Bikram Bharti
Applied AI at BuildFactory
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolBikram Bharti is an applied AI and quantitative engineer with 10 years of experience building trading and market-making systems across crypto and equity markets. He has led development of production trading stacks, execution tools, P&L and risk systems at firms like FalconX and contributed hedging automation and real-time market data platforms at Goldman Sachs. Comfortable in ultra-fast paced environments, Bikram blends deep Python/backend skills with hands-on algorithm design and team leadership, recently moving into applied AI roles. He is also an active open-source contributor, having refactored and modernized legislative scrapers for the notable openstates project and implemented suggestion services for fossasia's loklak search. Based in Bengaluru with an IIT-BHU engineering background, he brings a rare mix of trading-domain insight, distributed systems experience, and practical data engineering chops. A less obvious strength is his history of shipping robust data pipelines and REST-driven real-time dashboards that turn high-frequency feeds into actionable tools.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electronics Engineering, Bachelor of Technology (B.Tech.) Electronics Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
javascript10
webscraper10
python10
data-manipulation10
scrape10
scraper10
webscraping10
scrapy10
front-end-development10
data-scraping10
data-extraction10
screen-scraping10
apidoc9
typescript9
typescript-types9
Programming languages (5)
Github contributions (5)
openstates/openstates-scrapers
Mar 2017 - Jun 2018
source for Open States scrapers
Role in this project:
Back-end Developer
Back-end DeveloperContributions:84 commits, 31 PRs, 158 comments in 1 year 3 months
Contributions summary:Bikram converted existing scrapers from a previous framework to Pupa. They primarily worked on scraping code for Ohio and Arkansas, updating the code to include event and voting data. The user also refactored and fixed code related to committee and bill scraping for several states including Ohio, South Dakota, Mississippi, and Arizona, with emphasis on data model and actions. They demonstrated a strong understanding of data extraction, manipulation, and restructuring.
scraperpythongovernmentscrapers
fossasia/loklak_search
Dec 2016 - Jan 2017
Frontend Search for loklak server https://loklak.org
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:15 commits, 1 PR, 15 comments in 9 days
Contributions summary:Bikram implemented a suggestion service, writing the necessary code for the frontend search feature. They also changed the classes to models interface in the API response files. The user added a test file for the suggest service and included providers in the service spec file, ensuring the service functions as expected. The user's contributions focused on improving the application's data handling and suggesting features.
frontend
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